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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44621

A Study on the Effectiveness of AI and Social Media in Smart Hiring

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44621

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44621

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

UM

UMA MAHESWARI.S

D

Dr.C.LAKSHMI

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Abstract

The growing use of artificial intelligence (AI) and social media to complement recruitment activities has made radical changes in conventional recruitment practices. This study examines how AI-driven technologies and social media are making smart hiring smart, looking at how they boost decision-making, simplify candidate sourcing, and enhance recruitment results overall. Through examining how AI algorithms process large data sets and how social media profiles indicate a person’s fit for a job, this research seeks to assess the synergy between social media and AI in enhancing recruitment efficiency. In addition, this study analyzes the ethical implications, including privacy issues and possible biases, involved when AI and social media are applied to the recruitment process. Through case studies and questionnaires with industry experts, the research will evaluate the overall effect on recruitment success, cost savings, and candidate experience. aim is to offer recommendations to organizations looking to utilize these technologies while ensuring fairness and

KEYWORDS

artificial intelligence AI-driven technologies recruitment efficiency AI algorithms ethical implications conventional recruitment practices.

Cite This Article

UMA MAHESWARI.S, Dr.C.LAKSHMI, "A Study on the Effectiveness of AI and Social Media in Smart Hiring," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44621

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Publication Date

4/15/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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